InternLM
Breaks down how InternLM combines long-context reading, multi-step reasoning and tool calls, and how its companion toolchain links training, evaluation and deployment into a reusable path.
InternLM is an open-weight model and tooling family from Shanghai AI Laboratory and partners, aimed at general and domain tasks alike. It covers long-context reading, multi-step reasoning and tool calling, while LMDeploy, OpenCompass and XTuner handle inference, evaluation and fine-tuning. Together they make training and serving one path, so teams can stand up internal question answering or contract review without building the surrounding stack.
